Stochastic Specificity in Neural Interaction

Abstract

We present in this communication results from a dynamical model of two interacting stochastic neurons, simple enough to provide the understanding of basic mechanisms by which the stochastic nature of units enhances information processing capabilities. The active role played by noise or randomness in stochastic integrating and firing units is analyzed using a Markovian Chain approach. We conclude that randomness allows for robust specifity in unit response.